Artificial Intelligence Supported Case Analysis on Nursing Education
- Conditions
- Nursing StudentsNursing EducationArtificial Intelligence
- Interventions
- Other: AI-supported case
- Registration Number
- NCT06443983
- Lead Sponsor
- TC Erciyes University
- Brief Summary
Background: Rapid developments in the field of artificial intelligence have begun to necessitate changes and transformations in nursing education.
Objective: This study aimed to evaluate the impact of an artificial intelligence-supported case created in the in-class case analysis lecture for nursing students on students' case management performance and satisfaction.
Design: This study was a randomized controlled trial. Method: The study involved 188 third-year nursing students who were randomly assigned to either the AI group (n=94) and control group (n=94). An information form, case evaluation form, knowledge test, and Mentimeter application were used to assess the students' case management performance and nursing diagnoses. The level of satisfaction with the case analysis lecture was evaluated using the VAS scale.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 188
- having taken nursing process lecture before
- having planned care for at least one surgical patient in clinical practice before
- having a mobile phone with internet connection
- not attending the case analysis lecture
- not being an active student
- incomplete completion of the data collection forms
- not accepting to participate in the study
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description AI-supported case lesson group AI-supported case Students in this group will take an artificial intelligence-supported in-class case analysis lesson.
- Primary Outcome Measures
Name Time Method Case management performance 3 hours The performances of all students included in this study regarding the case lesson were evaluated by means of a knowledge test consisting of 10 questions and a Mentimeter application in which they could indicate their nursing diagnoses. The students will solve the tests after the case lessons are completed. The scores that can be obtained from the tests are between 0-100. As the score of the students increases, it can be interpreted that the level of knowledge increases. In the Mentimeter application, students will be asked to write 5 nursing diagnoses. There is no scoring here, but the application creates a word cloud with the most given answer in a larger font size.
Case Satisfaction 3 hours The level of satisfaction with the case analysis lecture was evaluated using the VAS scale. The VAS scale is scored between 1-10. Students indicate their satisfaction with the processing of the case lesson. High scores on the VAS indicate a high level of satisfaction.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Erciyes University
🇹🇷Kayseri, Turkey